1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Evaluating LLMs in Finance Requires Explicit Bias Consideration
Yaxuan Kong, Hoyoung Lee, Yoontae Hwang +7
Large Language Models (LLMs) are increasingly integrated into financial workflows, but evaluation practice has not kept up. Finance-specific biases can inflate performance, contami…
cs.LG2025
A Fast and Effective Solution to the Problem of Look-ahead Bias in LLMs
Humzah Merchant, Bradford Levy
Applying LLMs to predictive tasks in finance is challenging due to look-ahead bias resulting from their training on long time-series data. This precludes the backtests typically em…
cs.CL2024★ 1 cited
BeanCounter: A low-toxicity, large-scale, and open dataset of business-oriented text
Siyan Wang, Bradford Levy
Many of the recent breakthroughs in language modeling have resulted from scaling effectively the same model architecture to larger datasets. In this vein, recent work has highlight…